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Wells Fargo
Wells Fargo

Leading company in the financial services industry

DCIM Engineer - Data Engineering

직무데이터 엔지니어링
경력미들급
위치Bengaluru, India
근무오피스 출근
고용정규직
게시1주 전
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About this role:

Wells Fargo is seeking a Infrastructure Engineer.

In this role, you will:

  • Support initiatives that deliver workable end to end infrastructure solutions
  • Participate in test planning and execution
  • Communicate with end users to provide timely and accurate information and status updates
  • Design, build, enhance and integrate the infrastructure required to support various platforms and our business portfolio
  • Troubleshoot and resolve tickets during implementation of store networks
  • Troubleshoot and resolve first level network and wireless issues
  • Present recommendations for resolving ticket requests, and exercise some independent judgment while developing understanding of the process, policies and risk controls
  • Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
  • Interact with internal customers

Required Qualifications:

  • 2+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Experience building and supporting production data pipelines.
  • Strong SQL and relational database experience.
  • Familiarity with ETL/ELT concepts and data validation practices.
  • Experience working with structured data formats and APIs.
  • Experience with Python, .NET, Java, or similar backend technologies.
  • Basic understanding of monitoring and alerting for data jobs.
  • Web development exposure (React, Angular, JavaScript) to understand downstream data usage.
  • Ability to support or collaborate on data‑driven web applications.
  • Exposure to DCIM, CMDB, BMS, telemetry, or infrastructure datasets.
  • Work Location
  • Bangalore / Hyderabad

Job Expectations: Data Pipeline Development

  • Build and maintain batch and near real‑time data pipelines for DCIM datasets.
  • Ingest data from operational systems, sensors, and external sources.
  • Ensure pipelines are reliable, repeatable, and recoverable.

Data Modeling & Storage

  • Implement relational data models supporting assets, racks, telemetry, and events.
  • Maintain reporting‑ready datasets with consistent structure and naming.
  • Assist with schema evolution under guidance from senior engineers.

Data Quality & Validation

  • Implement data validation and reconciliation checks.
  • Monitor pipeline health and data freshness.
  • Troubleshoot and resolve pipeline failures and data inconsistencies.

Performance & Optimization

  • Optimize SQL queries and data structures for performance.
  • Assist with indexing, partitioning, and basic tuning practices.
  • Support scaling efforts as data volumes increase.

Collaboration

  • Work closely with reporting/BI engineers to understand data consumption needs.
  • Collaborate with platform engineers and operations teams on data issues.
  • Document pipelines, datasets, and known dependencies.

Posting End Date:

30 May 2026

Job posting may come down early due to volume of applicants.We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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Wells Fargo 소개

Wells Fargo

Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.

10,001+

직원 수

San Francisco

본사 위치

$163B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.8

보상

3.2

문화

3.9

커리어

3.1

경영진

3.4

72%

지인 추천률

장점

Good benefits and health coverage

Flexible schedules and work arrangements

Supportive team environment

단점

Limited career advancement opportunities

High stress and overwhelming workload

Poor management and lack of direction

연봉 정보

16개 데이터

Mid/L4

Senior/L5

Mid/L4 · Lead Analytics Consultant

1개 리포트

$151,878

총 연봉

기본급

$116,064

주식

-

보너스

-

$151,878

$151,878

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

21-35주

합격률

25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience